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ORCIDPongsak Lasang
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Publications
- 2025
[j16]Yazhou Liu
, Haoqi Chen, Pongsak Lasang, Zheng Wu:
Domain-Incremental Semantic Segmentation for Traffic Scenes. IEEE Trans. Intell. Transp. Syst. 26(4): 5067-5081 (2025)- 2024
- [j15]Yazhou Liu, Xiangyu Wei, Pongsak Lasang, Sugiri Pranata, Karthikk Subramanian, Hocktong Seow:
Ensemble Uncertainty Guided Road Scene Anomaly Detection: A Simple Meta-Learning Approach. IEEE Trans. Intell. Transp. Syst. 25(9): 10754-10765 (2024) - [j14]Yazhou Liu, Ming Wang, Pongsak Lasang, Quansen Sun:
Importance Biased Traffic Scene Segmentation in Diverse Weather Conditions. IEEE Trans. Intell. Veh. 9(1): 2753-2765 (2024) - 2023
- [c9]Hengyu Jiang, Yazhou Liu, Georges Nader, Zheng Wu, Takrit Tanasnitikul, Pongsak Lasang:
Feature Consistent Point Cloud Registration in Building Information Modeling. ICMVA 2023 - 2022
- [j13]Yazhou Liu, Yuliang Chen, Pongsak Lasang, Quan-Sen Sun:
Covariance Attention for Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 44(4): 1805-1818 (2022) - 2021
- [j11]Changxin Zhou, Yazhou Liu, Quansen Sun, Pongsak Lasang:
Vehicle Detection and Disparity Estimation Using Blended Stereo Images. IEEE Trans. Intell. Veh. 6(4): 690-698 (2021) - [j10]Yazhou Liu, Sen Cao, Pongsak Lasang, Shengmei Shen:
Modular Lightweight Network for Road Object Detection Using a Feature Fusion Approach. IEEE Trans. Syst. Man Cybern. Syst. 51(8): 4716-4728 (2021) - 2020
- [j8]Zhijie Yao, Yazhou Liu, Zexuan Ji, Quansen Sun, Pongsak Lasang, Shengmei Shen:
3D driver pose estimation based on joint 2D-3D network. IET Comput. Vis. 14(3): 84-91 (2020) - [c8]Yuliang Chen, Yazhou Liu, Pongsak Lasang, Quansen Sun:
Principal Semantic Feature Analysis with Covariance Attention. PRCV (2) 2020: 217-229 - 2019
- [j7]Changxin Zhou, Yazhou Liu, Quansen Sun, Pongsak Lasang:
Joint Object Detection and Depth Estimation in Multiplexed Image. IEEE Access 7: 123107-123115 (2019) - [j6]Yazhou Liu, Pongsak Lasang, Sugiri Pranata, Shengmei Shen, Wenchao Zhang:
Driver Pose Estimation Using Recurrent Lightweight Network and Virtual Data Augmented Transfer Learning. IEEE Trans. Intell. Transp. Syst. 20(10): 3818-3831 (2019) - [c7]Zhijie Yao, Yazhou Liu, Zexuan Ji, Quansen Sun, Pongsak Lasang, Shengmei Shen:
3D Driver Pose Estimation Based on Joint 2d-3d Network. ICIP 2019: 2546-2550 - 2018
- [c6]Sen Cao, Yazhou Liu, Changxin Zhou, Quan-Sen Sun, Pongsak Lasang, Shengmei Shen:
ThinNet: An Efficient Convolutional Neural Network for Object Detection. ICPR 2018: 836-841 - [i1]Sen Cao, Yazhou Liu, Pongsak Lasang, Shengmei Shen:
Detecting The Objects on The Road Using Modular Lightweight Network. CoRR abs/1811.06641 (2018) - 2016
- [j5]Yazhou Liu, Pongsak Lasang, Mel W. Siegel, Quan-Sen Sun:
Multi-sparse descriptor: A scale invariant feature for pedestrian detection. Neurocomputing 184: 55-65 (2016) - [j4]Pongsak Lasang, Wuttipong Kumwilaisak, Yazhou Liu, Shengmei Shen:
Optimal depth recovery using image guided TGV with depth confidence for high-quality view synthesis. J. Vis. Commun. Image Represent. 39: 24-39 (2016) - 2015
- [j3]Yazhou Liu, Pongsak Lasang, Mel W. Siegel, Quan-Sen Sun:
Geodesic Invariant Feature: A Local Descriptor in Depth. IEEE Trans. Image Process. 24(1): 236-248 (2015) - 2014
- [c4]Yazhou Liu, Pongsak Lasang, Quan-Sen Sun, Mel W. Siegel:
Learning Hierarchical Feature Representation in Depth Image. ACCV (3) 2014: 593-608
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